AI/ML Engineer

Job Role: AI/ML Engineer

Remote (Ocassional Travel whenever the client need)

Full-time

Job Description

We are looking for a Senior AI/ML Engineer with deep expertise in the AWS cloud ecosystem and hands-on experience building and deploying agentic AI systems into production. The ideal candidate has successfully taken LLM-based autonomous or semi-autonomous agents from experimentation to real-world product usage, leveraging frameworks such as LangGraph and modern MLOps practices.

Key Responsibilities

• Design, build, and deploy agentic AI systems using LangGraph / LangChain
• Productionize LLM-based workflows and multi-agent architectures
• Deploy and scale AI/ML solutions on AWS
• Integrate LLMs (OpenAI, Anthropic, Bedrock, etc.) into production systems
• Build and maintain end-to-end ML pipelines (training, inference, monitoring)
• Implement RAG pipelines using vector databases
• Collaborate with product and engineering teams to deliver AI features
• Ensure reliability, security, and performance of AI systems in production
• Monitor, evaluate, and continuously improve model and agent performance
• Contribute to architectural decisions and AI best practices

Required Skills & Qualifications

• 5+ years of experience in AI/ML engineering
• Strong hands-on experience with AWS (EC2, S3, Lambda, EKS, SageMaker, Bedrock)
• Proven experience deploying agentic AI systems into production
• Hands-on expertise with LangGraph and LangChain
• Strong knowledge of LLMs, prompt engineering, and orchestration
• Advanced Python programming skills
• Experience with model deployment, monitoring, and scaling
• Knowledge of cloud-native architectures
• Solid understanding of software engineering best practices